WIFI AIDED INTEGRITY IMPROVEMENT IN MEMS INS/GNSS INTEGRATION

The reliability of global navigation satellite system （GNSS） positioning degrades when satellite signals are interfered. Such degradation is hard to be deteced by a micro-electro mechanical system （MEMS） based inertial system（INS）/GNSS, integrating navigation system with a conventional Kalman filtering, which results in poten- tial integrity problem of the system. Hence, an algorithm combining wireless fidelity （WiFi） signal with a federa- ted Kalman filter （FKF） is proposed to identify the system integrity in dense urban navigation. The criterion of the system integrity detection is created followed by the derivation of the integrity coefficient. The field test shows that integrity changes can be captured by applying WiFi, and the maximum positioning error is reduced by 67~ without compensation of inertial sensors in integrity deterioration.     

LEVEL DECISION-MAKING FOR AERO-ENGINE MODULES BASED ON INCREMENTAL KNOWLEDGE LEARNING

The maintenance of an aero-engine usually includes three levels, and the maintenance cost and period greatly differ depending on the different maintenance levels. To plan a reasonable maintenance budget program, airlines would like to predict the maintenance level of aero-engine before repairing in terms of performance parame- ters, which can provide more economic benefits. The maintenance level decision rules are mined using the histori- cal maintenance data of a civil aero-engine based on the rough set theory, and a variety of possible models of upda- ting rules produced by newly increased maintenance cases added to the historical maintenance case database are in- vestigated by the means of incremental machine learning. The continuously updated rules can provide reasonable guidance suggestions for engineers and decision support for planning a maintenance budget program before repai- ring. The results of an example show that the decision rules become more typical and robust, and they are more accurate to predict the maintenance level of an aero-engine module as the maintenance data increase, which illus- trates the feasibility of the represented method.     

FAST FEATURE RANKING AND ITS APPLICATION TO FACE RECOGNITION

A fast feature ranking algorithm for classification in the presence of high dimensionahty and small sample size is proposed. The basic idea is that the important features force the data points of the same class to maintain their intrinsic neighbor relations, whereas neighboring points of different classes are no longer to stick to one an- other. Applying this assumption, an optimization problem weighting each feature is derived. The algorithm does not involve the dense matrix eigen-decomposition which can be computationally expensive in time. Extensive exper- iments are conducted to validate the significance of selected features using the Yale, Extended YaleB and PIE data- sets. The thorough evaluation shows that, using one-nearest neighbor classifier, the recognition rates using 100-- 500 leading features selected by the algorithm distinctively outperform those with features selected by the baseline feature selection algorithms, while using support vector machine features selected by the algorithm show less prominent improvement. Moreover, the experiments demonstrate that the proposed algorithm is particularly effi- cient for multi-class face recognition problem.     

仿鞭毛菌游动的微型机器人近壁运动

鞭毛菌及模仿其运行的微机器人在靠近壁面游动时,其运动模式与远离壁面时有所不同。针对这一现象,本文利用抗力理论和Stokes方程的线性性质,对鞭毛菌在壁面附近运动时流体对其施加的作用力进行分析,建立了鞭毛菌近壁运动的动力学模型。同时计算了细菌在平行于壁面平面内的运动轨迹与游动速度,并与实验数据进行对比分析,结果验证了该理论模型 的有效性。在此基础上,探讨了鞭毛尾的几何和运动学参数与细菌的速度变化量之间的关系。本文研究为微型仿生游动机器人运动控制时规避近壁效应提供参考依据。     

考虑非理想噪声干扰的直升机飞行动力学模型辨识方法

利用MATLAB/SIMULINK平台搭建了直升机仿真实验系统,并以UH-60直升机为对象实现了考虑非理想噪声干扰的仿真飞行实验。建立了非理想噪声数学模型并基于增广最小二乘法设计 了一套同时考虑模型参数和噪声参数的综合辨识算法,在此基础上,利用仿真实验数据实现了UH-60直升机纵向飞行动力学模型的辨识与验证。最后,通过与普通最小二乘法的对比验证了本文方法的优越性。      

软管-锥套式空中加油动态建模与性能分析

提出了一种基于凯恩方程的自主空中加油软管-锥套动态模型及性能分析方法。该方法将软管视为由有限段以铰链形式连接的刚性 杆组成,锥套为软管末端的一个质点。本文定义了描述系统状态的广义坐标及广义速率,导出了软管段位置多级递推公式和系统动态方程,估算了软管在加油机尾流、定常流和大气扰动下的气动载荷。通过数值仿真分析了平稳大气中锥套在加油机不同飞行条件下的稳态阻力和软管拖拽轨迹,验证了模型的正确性及系统稳定性。最后研究了大气扰动对锥套运动的影响及不同软管段的受扰运动。     

缓磨时工件烧伤过程的计算机仿真研究

在关于缓磨时的磨削热、接触弧区换热过程以及工件表层非稳态温度场的深入研究的基础上构造了一个可用于计算工件表层温度场畸变历程的数学模型，并据此完成了缓磨时工件烧伤过程的计算机仿真研究。仿真结果与缓磨时的实际烧伤过程吻合良好。本文率先阐明了缓磨烧伤的热机理，并证实了缓磨烧伤是一典型的渐变过程，它有明显的前兆特征，因而是可以被预报和控制的。此项创造性工作可以被看作是对磨削基础理论的一项重要贡献。     

尾喷口机构的伺服力加载系统研究

对飞机尾喷口鱼鳞片伺服机构的地面伺服力加载系统作了分析，给出了以压力伺服间组成系统的实用工程设计方法，提出了带有余度性质的技术措施。在压力问实测参数的基础上进行仿真研究，取得了满意的结果。     

飞行器设备缓冲支架设计研究

火箭在点火、发射、分离等时刻会受到冲击激励,影响箭上设备的正常工作,甚至造成设备损坏。因此,针对箭上设备进行相应的缓冲设计研究十分必要。提出了较为新颖和高效的设计思路,采用产品设计与缓冲试验仿真预示迭代进行,最终运用试验验证的设计流程,大大缩减了设计周期和设计经费;同时,首次提出采用半正弦冲击等效冲击响应谱进行冲击仿真的试验预示技术,并通过试验验证了该仿真技术的有效性。形成的设计思路和设计流程对产品设计具有较高的经济效益和社会价值。     

刚性壁面附近气泡和自由面的耦合效应研究

为研究刚性壁面附近的气泡与自由面的耦合效应,使用边界元方法(BEM)建立了一套考虑气泡、刚性壁面和自由面的数值模型。专注于与垂直平面成30°角的刚性壁面附近的气泡和自由表面之间的耦合效应,从两个方面进行研究:首先,为了研究气泡位置的影响,定义了一个无量纲的距离参数γh,它表示初始气泡与自由面和刚性壁面相交的垂直平面之间的距离。对于大尺度的气泡,在气泡的坍塌阶段会形成两个液体射流,自由面的高度的变化取决于γh。γh较小时,自由面的高度在刚性壁面上达到其峰值,而γh相对较大时,此峰值出现在气泡正上方。其次,模拟了不同的气泡尺度下气泡和自由面的行为,发现气泡尺度对自由面的影响主要反映在气泡正上方的自由面高度上。当气泡尺度的影响相对较大时,该高度在整个过程中持续变大,而当气泡尺度的影响相对较小时,该高度呈先增加然后减小的趋势。